[HTML][HTML] Mathematical models for covid-19 pandemic: a comparative analysis

A Adiga, D Dubhashi, B Lewis, M Marathe… - Journal of the Indian …, 2020 - Springer
COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years.
Its economic, social and health impact continues to grow and is likely to end up as one of the …

Cola-GNN: Cross-location attention based graph neural networks for long-term ILI prediction

S Deng, S Wang, H Rangwala, L Wang… - Proceedings of the 29th …, 2020 - dl.acm.org
Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-
care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease …

[HTML][HTML] Twitter improves influenza forecasting

MJ Paul, M Dredze, D Broniatowski - PLoS currents, 2014 - ncbi.nlm.nih.gov
Accurate disease forecasts are imperative when preparing for influenza epidemic outbreaks;
nevertheless, these forecasts are often limited by the time required to collect new, accurate …

Results from the centers for disease control and prevention's predict the 2013–2014 Influenza Season Challenge

M Biggerstaff, D Alper, M Dredze, S Fox… - BMC infectious …, 2016 - Springer
Background Early insights into the timing of the start, peak, and intensity of the influenza
season could be useful in planning influenza prevention and control activities. To encourage …

Prediction of infectious disease epidemics via weighted density ensembles

EL Ray, NG Reich - PLoS computational biology, 2018 - journals.plos.org
Accurate and reliable predictions of infectious disease dynamics can be valuable to public
health organizations that plan interventions to decrease or prevent disease transmission. A …

Forecasting the 2013–2014 influenza season using Wikipedia

KS Hickmann, G Fairchild, R Priedhorsky… - PLoS computational …, 2015 - journals.plos.org
Infectious diseases are one of the leading causes of morbidity and mortality around the
world; thus, forecasting their impact is crucial for planning an effective response strategy …

Epideep: Exploiting embeddings for epidemic forecasting

B Adhikari, X Xu, N Ramakrishnan… - Proceedings of the 25th …, 2019 - dl.acm.org
Influenza leads to regular losses of lives annually and requires careful monitoring and
control by health organizations. Annual influenza forecasts help policymakers implement …

Measuring global disease with Wikipedia: Success, failure, and a research agenda

R Priedhorsky, D Osthus, AR Daughton… - Proceedings of the …, 2017 - dl.acm.org
Effective disease monitoring provides a foundation for effective public health systems. This
has historically been accomplished with patient contact and bureaucratic aggregation, which …

Using electronic health records and Internet search information for accurate influenza forecasting

S Yang, M Santillana, JS Brownstein, J Gray… - BMC infectious …, 2017 - Springer
Background Accurate influenza activity forecasting helps public health officials prepare and
allocate resources for unusual influenza activity. Traditional flu surveillance systems, such …

Inter-series attention model for COVID-19 forecasting

X Jin, YX Wang, X Yan - Proceedings of the 2021 SIAM International …, 2021 - SIAM
COVID-19 pandemic has an unprecedented impact all over the world since early 2020.
During this public health crisis, reliable forecasting of the disease becomes critical for …